Image Fusion Using Cross Bilateral Filter

Abstract

Image fusion is a sub-field of image processing in which more than one images are fused to create an image where all the objects are in focus. Image fusion is of significant importance due to its application in medical science, forensic and defense departments. It is proposed to fuse source images by weighted average using the weights computed from the detail images that are extracted from the source images using cross bilateral filter. The performance of the proposed method has been verified on several pairs of multi-sensor and multi-focus images, and compared with the existing methods like wavelet transform, and guided filtering techniques, visually and quantitatively. It is found that, none of the methods have shown consistence performance for all the performance metrics. But as compared to them, the proposed method has shown good performance in most of the cases. In this, propose a fast and effective image fusion method to merging multiple images. Experimental results demonstrate the proposed method is well efficient than several existing methods.